Dendritic structures that emerge during the growth of thin films are a major obstacle in large-area fabrication, a key step towards commercialization. However, current methods of studying dendrites involve crude visual inspection and subjective analysis. Moreover, growth optimization methods for controlling dendrite formation require extensive trial and error. Now, researchers have developed a new AI model that incorporates topology analysis and free energy to reveal the specific conditions and mechanisms that drive dendrite branching.

A research team led by SUTD has developed an acoustic method using empirical mode decomposition to detect stones hidden among coffee beans, preventing costly grinder damage in cafés and factories.

Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy.

By using robotics to prepare thousands of samples and artificial intelligence to analyze their data, they created a simple, inexpensive tool that could expand possibilities for performing chemical analysis.

A rapid prototyping platform called VIK (Voxel Invention Kit) enables makers without engineering expertise to create large-scale interactive devices using a series of reconfigurable electromechanical building blocks. These user-friendly components can be assembled using only a soldering iron and a pair of pliers.